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Olav Sorenson's picture

Networks Can Explain Who Profits and How Industries Survive

Social relationships influence individuals’ and organizations’ access to information and resources. The patterns of relationships connecting actors therefore can help to explain both who profits and the evolution of industries. With various coauthors, I have explored a number of inter-related issues.

Economic Geography

Lecture Videos

YINS Distinguished Lecturer Ron Breiger, "Community Detection: Beyond Community Structure"

YINS Distinguished Lecturer Anna Nagurney, "Supply Chain Networks Against Time: From Food to Pharma"

March 25, 2014

Emotions spread through Facebook

Professor of Social and Natural Science Nicholas Christakis ’84 researches the ways in which networks impact behavior, health, and longevity. In a recent study released this month in the journal PLOS ONE, Christakis, along with researchers from the University of California and Facebook Inc., discovered that emotions spread through the social networking site just like other phenomena such as disease spread through real networks of people. After analyzing over a billion Facebook statuses, the researchers discovered that positive posts, on average, resulted in 1.75 more positive posts from friends, and negative posts generated 1.29 further negative posts. At Yale, Christakis co-directs the Yale Institute for Network Science (YINS), which opened last summer. The News spoke with Christakis on Monday about the network of emotions on Facebook and how studying network interactions can improve public policy.

YINS
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Our History

Network phenomena are now studied in many disciplines, including engineering, computer science, sociology, economics, political science, biology, physics, medicine, public health, and management. Hence, the study of networks is dramatically transforming scientific fields traversing Engineering and the Social and Natural Sciences.

YINS Software

Breadboard: http://breadboard.yale.edu

Breadboard is a software platform for developing and conducting human interaction experiments on networks. It allows researchers to rapidly design experiments using a flexible domain-specific language and provides researchers with immediate access to a diverse pool of online participants.

Network Science Courses

Courses in Network Science at Yale

 

AFST 348: Islamic Social Movements

Wyrtzen, Jonathan


Social movement and network theory used to analyze the emergence and evolution of Islamic movements from the early twentieth century to the present. Organization, mobilization, and framing of political, nonpolitical, militant, and nonmilitant movements; transnational dimensions of Islamic activism. Case studies include the Muslim Brotherhood, Hamas, Hizbollah, Al-Qaeda, Al-Adl wa-Ihsann, and Tablighi Jama’at.

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